Faculty of Computing

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4202

Browse

Filters

20212

Advanced Search

Filter by

Settings

Subject: search.filters.subject.Smart Approach

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationEmbargo
    Fuzzy Based User-Centric Smart Approach to Prevent Unhealthy Eating Habit Crisis
    (IEEE, 2021-12-06) Malshani, H.K.N; Sasanka, D; Wickramaratne, U. I; Kavindi, Y; Tissera, M; Attanayaka, B. L
    Cholesterol plays a major role in keeping the human heart-healthy. High blood cholesterol is a key risk factor for cardiovascular diseases such as coronary heart disease and stroke. High blood cholesterol has become a severe health problem. The risk factors that affect a person's health cholesterol content include but are not limited to unhealthy diet, physical inactivity, high-stress status, genetic factors. However, many studies have discovered that there is a direct association between elevated levels of serum cholesterol and unhealthy eating habits. This problematic situation is influenced by busy lifestyles, a lack of time to pay attention to their meals, and a lack of knowledge about removing trans fats from daily diets. The primary goal of this study is to provide personalized guidance to prevent unhealthy eating habits via a mobile application. It allows to create a virtual food plate, analyze the risk status of that food plate, and predict a balanced diet as a replacement for the original food plate. The proposed approach uses an originally constructed food knowledge base and fuzzy logic to predict a balanced diet. Outcomes of the approach were tested using the interrater agreement manual method and obtained an accuracy of 80%. The computed Inter Rater Reliability (IRR) score was 75%, which shows the high reliability among the testers. Finally, this approach will assist people in self-controlling their cholesterol levels and prevent deadly heart diseases.
  • Thumbnail Image
    PublicationEmbargo
    Virtual Dressing Room: Smart Approach to Select and Buy Clothes
    (IEEE, 2021-12-09) Weerasinghe, S. W. P. N. M; Rajapaksha, R. M. D. D; Sathsara, L. G. I; Gunasekara, H. S. D. N; Wijendra, D. R; De Silva, D. I
    The clothing industry portrays a major part of a respective country`s economy. Due to the predilection for clothing items of the people have led to the increasing of physical and online clothing stores in all around the world. Most of the people are used to go to the physical shopping and purchase their desired clothing items. But, as a consequence of the current pandemic situation, most of the people are unable to step out from their homes. This application is intended to cater an opportunity to the customers, who are not able to reach the physical clothing stores due to a pandemic situation and mobility difficulties. In addition, this application diminishes the time wastage, clothing size mismatches and the lesser user satisfaction ratio inside a physical clothing store. A customized 3D model has featured in the application to cater the virtual fitting experience to the customer. And the AI chatbot assistant in the application interacts with the user while catering virtual assistance for a better cloth selection process. In addition to that, this application has concentrated on the clothing shop by providing a future sales prediction component utilizing the K-Nearest Neighbors algorithm to provide an aid to their business commitments.